University Lecturer in Statistical and Computational Modelling in Biology

Applications are invited for a University Lectureship in Statistical and Computational Modelling in Biology based at the Department of Genetics.

The Department of Genetics is a world class research and teaching environment with particular strengths in genomics, population genetics and quantitative cell and developmental biology. We are searching for an outstanding scientist, with an excellent publication record, who is undertaking cutting edge and fundable work to complement our broad existing programme of research. In particular, we are encouraging applicants who will strengthen our current research activities in the area of quantitative genetics taking approaches that include mathematics, modelling, computing, bioinformatics and statistics. (http://www.gen.cam.ac.uk/research-groups/research-by-subject).

The candidate should also have an aptitude and enthusiasm for teaching at undergraduate and graduate level, and will be expected to contribute to these activities in the Department. This will include the design and delivery of undergraduate and graduate-level lecture courses and in particular the new undergraduate course in Statistical, Computational and Mathematical Modelling in Biology The successful candidate will also be expected to perform related academic duties associated with examinations and other forms of assessment.

We welcome applications from individuals with degrees in the biological, mathematical or physical sciences who are focused on applying their expertise to research in relevant areas of modern genetics. Applicants should also be able to demonstrate an effective contribution to teaching, and more general contributions to their subject and to related activities, for example to the public understanding of science.

The Department is committed to the Athena SWAN scheme to provide equal opportunities and to advance the representation of women in science. We welcome applications from all qualified candidates irrespective of gender but, as women are currently under-represented at this level in our department, we strongly encourage applications from female candidates. Appointment will be based on merit alone. The Department strongly supports DORA (https://sfdora.org) and will assess research on its own merits rather than on the basis of the journal in which it is published.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload the following application documentation - Curriculum Vitae (CV), a full publications list, highlighting up to 5 publications you regard as most significant, and a statement of professional, teaching and research experience and a description of your future research plans.

If you upload any additional documents to those above, we will not be able to consider these as part of your application.

Short-listed candidates will be invited to visit the Department, give a research seminar and short teaching talk, and attend a formal interview. This process will take place during March 2019.

Please quote reference PC17441 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.